Results 31 to 40 of about 36,792 (238)
Low Power Processor Architectures and Contemporary Techniques for Power Optimization – A Review [PDF]
, 2009 The technological evolution has increased the number of transistors for a given die area significantly and increased the switching speed from few MHz to GHz range.
Gujarathi, Hemal S +2 more
core +2 more sources
IET Networks, EarlyView., 2023 We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
Machines, 2022 A valve-controlled hydraulic cylinder system has the characteristics of uncertainty and time-variance, and the electro-hydraulic servo unit encounters shock, vibration, and other external interference when working, which seriously affect the stability of
Bingwei Gao +3 more
doaj +1 more source
Herschel/PACS View Of Disks Around Low-Mass Stars And Brown Dwarfs In The TW Hydrae Association [PDF]
, 2015 We conducted Herschel/PACS observations of five very low-mass stars or brown dwarfs located in the TW Hya association with the goal of characterizing the properties of disks in the low stellar mass regime.
Allers, Katelyn N. +8 more
core +1 more source
علوم آب و خاک, 2021 Optimizing the water resources operation, especially in the agricultural sector, which has the largest share in the water resources operation, is extremely important.
A. Donyaii, A. Sarraf, H. Ahmadi
doaj
A New Hybrid Filter-Wrapper Feature Selection using Equilibrium Optimizer and Simulated Annealing [PDF]
Journal of Mahani Mathematical Research, 2023 Data dimensions and networks have grown exponentially with the Internet and communications. The challenge of high-dimensional data is increasing for machine learning and data science.
Mohammad Ansari Shiri +2 more
doaj +1 more source
Photometric redshifts for Quasars in multi band Surveys [PDF]
, 2013 MLPQNA stands for Multi Layer Perceptron with Quasi Newton Algorithm and it is a machine learning method which can be used to cope with regression and classification problems on complex and massive data sets.
Brescia, M. +4 more
core +3 more sources
Photometric redshifts with Quasi Newton Algorithm (MLPQNA). Results in the PHAT1 contest [PDF]
, 2012 Context. Since the advent of modern multiband digital sky surveys, photometric redshifts (photo-z's) have become relevant if not crucial to many fields of observational cosmology, from the characterization of cosmic structures, to weak and strong lensing.
Brescia, Massimo +3 more
core +3 more sources
An Orthodontic Path Planning Method Based on Improved Gray Wolf Optimization Algorithm
Soft Computing, 2023 Abstract Automatic tooth arrangement and path planning plays an essential role in computer-aided orthodontic treatment. However, state-of-the-art methods have some shortcomings: low efficiency, excessive cost of displacements or collisions and insufficient accuracy.
Xiaozhi Du, Ting Yu, Kai Chen
openaire +1 more source
Type 2 Diabetes Prediction using Gray Wolf Optimization Algorithm
Indian Journal of Forensic Medicine & Toxicology, 2021 Background: Increasing the number of diabetic patients and the ignorance of most of these patients aboutthe dangers arising from it is a challenge that threatens human lives.Materials and Method: In this paper, a new solution based on the Gray Wolf Optimization (GWO) algorithmfor predicting type 2 diabetes is presented. The main purpose of the proposed
openaire +2 more sources